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roberta-base-squad2-finetuned-BioASQ-ds

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  1. README.md +8 -6
  2. adapter_model.safetensors +1 -1
  3. runs/Apr06_08-36-36_b26a03e5fa73/events.out.tfevents.1712393196.b26a03e5fa73.1618.0 +2 -2
  4. runs/Apr06_08-36-36_b26a03e5fa73/events.out.tfevents.1712393825.b26a03e5fa73.1618.1 +3 -0
README.md CHANGED
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  ---
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  license: cc-by-4.0
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- base_model: deepset/roberta-base-squad2
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  tags:
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  - generated_from_trainer
 
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  model-index:
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  - name: roberta-base-squad2-finetuned-BioASQ-ds
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  results: []
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0328
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  ## Model description
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@@ -46,14 +47,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 223 | 1.0332 |
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- | No log | 2.0 | 446 | 1.0157 |
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- | 0.936 | 3.0 | 669 | 1.0328 |
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  ### Framework versions
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  - Transformers 4.39.3
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  ---
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  license: cc-by-4.0
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+ library_name: peft
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  tags:
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  - generated_from_trainer
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+ base_model: deepset/roberta-base-squad2
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  model-index:
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  - name: roberta-base-squad2-finetuned-BioASQ-ds
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  results: []
 
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  This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6959
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 223 | 1.8273 |
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+ | No log | 2.0 | 446 | 1.7265 |
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+ | 1.8167 | 3.0 | 669 | 1.6959 |
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  ### Framework versions
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+ - PEFT 0.10.0
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  - Transformers 4.39.3
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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